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Journal ArticleDOI

Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level

Kok Soon Tey, +1 more
- 01 Mar 2014 - 
- Vol. 101, pp 333-342
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TLDR
A modified incremental conductance algorithm is proposed that responds accurately when the solar irradiation level increases and shows zero oscillation in the power of the solar module after the maximum power point (MPP) is tracked.
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This article is published in Solar Energy.The article was published on 2014-03-01. It has received 356 citations till now. The article focuses on the topics: Maximum power point tracking & Duty cycle.

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Citations
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Journal ArticleDOI

A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions

TL;DR: In this paper, a maximum power point tracking (MPPT) design for a photovoltaic (PV) system using a grey wolf optimization (GWO) technique is presented, where the problem of tracking the global peak (GP) of a PV array under partial shading conditions (PSCs) is attempted employing the GWO-based MPPT technique.
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A comprehensive review on solar PV maximum power point tracking techniques

TL;DR: In this article, a state of the art review on various maximum power point techniques for solar PV systems covering timeworn conventional methods and latest soft computing algorithms is presented to date critical analysis on each of the method in terms of tracking speed, algorithm complexity, dynamic tracking under partial shading and hardware implementation is not been carried out.
Journal ArticleDOI

Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony

TL;DR: In this paper, an artificial bee colony (ABC) algorithm was proposed for global MPP tracking under conditions of in-homogenous insolation, and numerical simulations carried out on two different PV configurations under different shading patterns strongly suggest that the proposed method is far superior to existing MPPT alternatives.
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State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review

TL;DR: In this paper, the authors present a review of the performance and reliability of various methods for maximum power point tracking (MPPT) in PV-based power systems, including their limitations and advantages.
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Variable step size modified P&O MPPT algorithm using GA-based hybrid offline/online PID controller

TL;DR: In this paper, a modified Perturbation and Observation (PO) MPPT method using PID controller tuned by genetic algorithm is presented, which can track the maximum power point in case of random and fast changing atmospheric conditions.
References
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Journal ArticleDOI

Optimization of perturb and observe maximum power point tracking method

TL;DR: In this article, the perturb and observe (PO) algorithm is used in photovoltaic (PV) systems to maximize the PV array output power by tracking continuously the maximum power point (MPP) which depends on panels temperature and on irradiance conditions.
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A Variable Step Size INC MPPT Method for PV Systems

TL;DR: A modified variable step size INC MPPT algorithm is proposed, which automatically adjusts the step size to track the PV array maximum power point and can effectively improve the MPPT speed and accuracy simultaneously.
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Simulation and Hardware Implementation of Incremental Conductance MPPT With Direct Control Method Using Cuk Converter

TL;DR: Simulation and hardware implementation of incremental conductance maximum power point tracking (MPPT) used in solar array power systems with direct control method and results indicate the feasibility and improved functionality of the system.
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An Improved Particle Swarm Optimization (PSO)–Based MPPT for PV With Reduced Steady-State Oscillation

TL;DR: In this article, the authors proposed an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm.
Journal ArticleDOI

A review on solar energy use in industries

TL;DR: In this paper, a comparative study on the world energy consumption released by International Energy Agency (IEA) shows that in 2050, solar array installations will supply around 45% of energy demand in the world.
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